EP 3718103 A4 20210224 - SYSTEM AND METHOD FOR LANGUAGE MODEL PERSONALIZATION
Title (en)
SYSTEM AND METHOD FOR LANGUAGE MODEL PERSONALIZATION
Title (de)
SYSTEM UND VERFAHREN ZUR PERSONALISIERUNG VON SPRACHMODELLEN
Title (fr)
SYSTÈME ET PROCÉDÉ DE PERSONNALISATION DE MODÈLE DE LANGAGE
Publication
Application
Priority
- US 201862639114 P 20180306
- US 201816227209 A 20181220
- KR 2019002615 W 20190306
Abstract (en)
[origin: US2019279618A1] A method, an electronic device, and computer readable medium is provided. The method includes identifying a set of observable features associated with one or more users. The method also includes generating latent features from the set of observable features. The method additionally includes sorting the latent features into one or more clusters. Each of the one or more clusters represents verbal utterances of a group of users that share a portion of the latent features. The method further includes generating a language model that corresponds to a specific cluster of the one or more clusters. The language model represents a probability ranking of the verbal utterances that are associated with the group of users of the specific cluster.
IPC 8 full level
G10L 15/183 (2013.01); G06F 40/20 (2020.01); G06F 40/216 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01)
CPC (source: EP US)
G06F 40/20 (2020.01 - EP US); G06F 40/216 (2020.01 - EP); G06F 40/279 (2020.01 - EP US); G06F 40/30 (2020.01 - EP); G10L 15/183 (2013.01 - EP US); G10L 15/197 (2013.01 - US); G10L 15/22 (2013.01 - US); G10L 15/30 (2013.01 - US)
Citation (search report)
- [I] US 2014324434 A1 20141030 - VOZILA PAUL J [US], et al
- [A] EP 2339576 A2 20110629 - GOOGLE INC [US]
- [A] SONG CHUNFENG ET AL: "Auto-encoder Based Data Clustering", 20 November 2013, BIG DATA ANALYTICS IN THE SOCIAL AND UBIQUITOUS CONTEXT : 5TH INTERNATIONAL WORKSHOP ON MODELING SOCIAL MEDIA, MSM 2014, 5TH INTERNATIONAL WORKSHOP ON MINING UBIQUITOUS AND SOCIAL ENVIRONMENTS, MUSE 2014 AND FIRST INTERNATIONAL WORKSHOP ON MACHINE LE, ISBN: 978-3-642-17318-9, XP047470755
- [A] HADI AMIRI ET AL: "Learning Text Pair Similarity with Context-sensitive Autoencoders", PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 7 August 2016 (2016-08-07), Berlin, Germany, pages 1882 - 1892, XP055763482, DOI: 10.18653/v1/P16-1177
- See references of WO 2019172656A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
US 11106868 B2 20210831; US 2019279618 A1 20190912; CN 111819625 A 20201023; EP 3718103 A1 20201007; EP 3718103 A4 20210224; WO 2019172656 A1 20190912
DOCDB simple family (application)
US 201816227209 A 20181220; CN 201980016519 A 20190306; EP 19764203 A 20190306; KR 2019002615 W 20190306